Physical Monitoring and Healthy Controlling of Geotechnical Engineering

Topic Information

Dear Colleagues,

Geotechnical engineering has been closely involved with numerous multi-scale activities throughout human history. Recently, the role of geotechnical engineering is becoming more important in many fields including mining, tunnelling, roads, railways, slopes, buildings, bridges, foundations, and (tailing) dams, with global economic development, the increase in infrastructure facilities, and the increasing demand for safety. Due to the increasing amount and complexity of current geotechnical engineering, the effective physical monitoring and healthy control are, however, gradually becoming challenging topics for the application, running, and maintenance of geotechnical engineering. It is necessary to interpret the physical status of geotechnical engineering sites by co-operating with different monitoring approaches and to then perform effective control measures to prevent possible engineering-induced disasters. This research topic aims to provide a stage for novel research and new advances for monitoring and control in the field of geotechnical engineering. We welcome submissions from experts and scholars on the physical monitoring, disaster control, geomechanics and geophysics, induced seismicity, deformation of geomaterials, analogue modelling, numerical modelling, remote sensing applications, and intelligent geotechnical engineering. The areas to be covered in this research topic may include, but are not limited to: General Topics: 

• Physical monitoring in geotechnical engineering;
• Disaster control in geotechnical engineering;
• Geomechanics and geophysics;
• Induced seismicity;
• Deformation and failure of geomaterials;
• Physics and mechanics of geomaterials;
• Analog modelling in geotechnical engineering;
• Numerical modelling of geotechnical models;
• Intelligent geotechnical engineering;
• Healthy development of geotechnical engineering;
• Safety management in geotechnical engineering;
• Human–machine-environment system;
• Geotechnical sensors;
• Active and passive microwave remote sensing;
• Lidar and laser scanning;
• Geometric reconstruction;
• Physical modelling and signatures;
• Change detection;
• Image processing and pattern recognition;
• Operational processing facilities;
• Remote sensing applications.

Prof. Dr. Longjun Dong
Dr. Daoyuan Sun
Dr. Ju Ma
Dr. Weiwei Shu
Prof. Dr. Qiong Wu
Prof. Dr. Rui Yong
Dr. Kun Fang
Dr. Tao Wen
Topic Editors

Keywords

Participating Journals

Journal Name	Impact Factor	CiteScore	Launched Year	First Decision (median)	APC
International Journal of Environmental Research and Public Health ijerph	-	5.4	2004	29.6 Days	CHF 2500	Submit
Mathematics mathematics	2.4	3.5	2013	16.9 Days	CHF 2600	Submit
Remote Sensing remotesensing	5.0	7.9	2009	23 Days	CHF 2700	Submit
Safety safety	1.9	3.3	2015	29.6 Days	CHF 1800	Submit
Sustainability sustainability	3.9	5.8	2009	18.8 Days	CHF 2400	Submit

MDPI Topics is cooperating with Preprints.org and has built a direct connection between MDPI journals and Preprints.org. Authors are encouraged to enjoy the benefits by posting a preprint at Preprints.org prior to publication:

1. Immediately share your ideas ahead of publication and establish your research priority;
2. Protect your idea from being stolen with this time-stamped preprint article;
3. Enhance the exposure and impact of your research;
4. Receive feedback from your peers in advance;
5. Have it indexed in Web of Science (Preprint Citation Index), Google Scholar, Crossref, SHARE, PrePubMed, Scilit and Europe PMC.

Published Papers (4 papers)

Order results

Content type Publication Date

Result details

Normal Extended Compact

Journals

All IJERPH Mathematics Remote Sensing Safety Sustainability

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

Error

Oops... you haven't selected anything for export.

Ok

clear

26 pages, 7481 KiB  

Open AccessArticle

A Comprehensive Evaluation of Resilience in Abandoned Open-Pit Mine Slopes Based on a Two-Dimensional Cloud Model with Combination Weighting

by Liangxing Jin, Pingting Liu, Wenbing Yao and Junjie Wei

Mathematics 2024, 12(8), 1213; https://doi.org/10.3390/math12081213 - 17 Apr 2024

Viewed by 419

Abstract

The stability of abandoned open-pit mine slopes and their ecological environment are threatened owing to their fragile, complicated, and uncertain characteristics. This study establishes a novel evaluation indicator system for enhancing mine design and environmental protection insight. The weights in the system are [...] Read more.

The stability of abandoned open-pit mine slopes and their ecological environment are threatened owing to their fragile, complicated, and uncertain characteristics. This study establishes a novel evaluation indicator system for enhancing mine design and environmental protection insight. The weights in the system are assigned using a combined method, which consists of the game theory, the interval analytic hierarchy process (IAHP), and the entropy weight method (EWM). The IAHP is optimized by the improved radial movement optimal (IRMO) algorithm and the simulated annealing (SA) algorithm to ensure calculation stability and efficiency. Meanwhile, a two-dimensional cloud model (TDCM) is developed to obtain the slope resilience level and visualize the result. This comprehensive evaluation method is applied to three abandoned mine slopes in the Yellow River Basin, and the results demonstrate that the method can provide crucial insights for rational mine slope stabilization and ecological restoration. Full article

(This article belongs to the Topic Physical Monitoring and Healthy Controlling of Geotechnical Engineering)

►▼ Show Figures

Figure 1

21 pages, 3038 KiB  

Open AccessArticle

Generalized Weighted Mahalanobis Distance Improved VIKOR Model for Rockburst Classification Evaluation

by Jianhong Chen, Zhe Liu, Yakun Zhao, Shan Yang and Zhiyong Zhou

Mathematics 2024, 12(2), 181; https://doi.org/10.3390/math12020181 - 05 Jan 2024

Viewed by 733

Abstract

Rockbursts are hazardous phenomena of sudden and violent rock failure in deep underground excavations under high geostress conditions, which poses a serious threat to geotechnical engineering. The occurrence of rockbursts is influenced by a combination of factors. Therefore, it is necessary to find [...] Read more.

Rockbursts are hazardous phenomena of sudden and violent rock failure in deep underground excavations under high geostress conditions, which poses a serious threat to geotechnical engineering. The occurrence of rockbursts is influenced by a combination of factors. Therefore, it is necessary to find an efficient method to assess rockburst grades. In this paper, we propose a novel method that enhances the VIKOR method using a novel combination of weight and generalized weighted Mahalanobis distance. The combination weights of the evaluation indicators were calculated using game theory by combining subjective experience and objective data statistical characteristics. By introducing the generalized weighted Mahalanobis distance, the VIKOR method is improved to address the issues of inconsistent dimensions, different importance, and inconsistent correlation among indicators. The proposed method can deal with the complexity of the impact factors of rockburst evaluation and classify the rockburst intensity level. The results show that the accuracy of the improved VIKOR method with the distance formula is higher than that of the unimproved VIKOR method; the evaluation accuracy of the improved VIKOR method with the generalized weighted Mahalanobis distance is 91.67%, which outperforms the improved VIKOR methods with the Euclidean and Canberra distances. This assessment method can be easily implemented and does not depend on the discussion of the rockburst occurrence mechanism, making it widely applicable for engineering rockburst evaluation. Full article

(This article belongs to the Topic Physical Monitoring and Healthy Controlling of Geotechnical Engineering)

►▼ Show Figures

Figure 1

13 pages, 6439 KiB  

Open AccessArticle

Stability Analysis of Strongly Weathered Muddy Slate Slopes Considering Softening Conditions of Water Immersion

by Yungang Shi, Jingyu Wang, Xin Tan, Suhua Zhou, Yuxuan Jin and Xin Yin

Sustainability 2023, 15(20), 14740; https://doi.org/10.3390/su152014740 - 11 Oct 2023

Viewed by 721

Abstract

To understand the stability of strongly weathered muddy slate slopes under water immersion effects, we obtained shear strength parameters of the weakly layered structures within this slate through direct shear tests. Point load tests were performed on in-site slate samples with varying water [...] Read more.

To understand the stability of strongly weathered muddy slate slopes under water immersion effects, we obtained shear strength parameters of the weakly layered structures within this slate through direct shear tests. Point load tests were performed on in-site slate samples with varying water immersion durations to assess the water immersion’s softening impact on slate strength. Results highlight that muddy slate strength presents pronounced random variability, declining as water immersion duration increases. Drawing from shear strength parameters and the water immersion softening observed in laboratory and in-site tests, we formulated a numerical slope model that considers layered structures and water immersion conditions to evaluate slope stability. Numerical simulations suggest that the slate slope’s sliding surface, when layered, does not consistently form a basic circular arc or straight line. The slope safety factor (FOS) drops below 3, marking a notable decrease compared to a homogeneous slope (FOS = 3.22). In the model, multiple secondary sliding surfaces can emerge, leading to a sliding band with a specific thickness after introducing the random distribution of layer strength parameters. This further reduces the slope’s FOS to below 2.9. Water immersion makes slopes inclined to slide following the layered structure. If the dip angle of the slate’s layered structure is less steep than the slope’s dip angle, water immersion notably diminishes the FOS, which can dip to a minimum of 1.12. Full article

(This article belongs to the Topic Physical Monitoring and Healthy Controlling of Geotechnical Engineering)

►▼ Show Figures

Figure 1

16 pages, 6268 KiB  

Open AccessArticle

Stability Analysis and the Random Response of Anti-Sliding Pile for Erdaogou Landslide Considering Spatial Variability

by Xuecheng Gao, Luqi Wang, Qi Wang, Xinyun Hu, Yucheng Wang and Yanfeng Zhang

Mathematics 2023, 11(10), 2318; https://doi.org/10.3390/math11102318 - 16 May 2023

Viewed by 966

Abstract

Anti-sliding piles are commonly implemented to reinforce landslides. Considering the complex nature of this medium, there is substantial spatial variability in the mechanical parameters of rock and soil masses. However, the influence of spatial variability on the anti-sliding pile remains unclear. In this [...] Read more.

Anti-sliding piles are commonly implemented to reinforce landslides. Considering the complex nature of this medium, there is substantial spatial variability in the mechanical parameters of rock and soil masses. However, the influence of spatial variability on the anti-sliding pile remains unclear. In this study, the Erdaogou landslide is taken as a case study in terms of the random response of anti-sliding piles considering spatial variability. Based on comprehensive on-site investigations, various numerical calculations were conducted for the comparative analysis, involving stability analysis and the reliability evaluation of the Erdaogou landslide. The results show that treating mechanical parameters of sliding masses as random variables could result in the probability of overestimating landslide failure, leading to the squandering of supporting materials. Specifically, the coefficient of variation has the greatest influence on failure probability, and the vertical scale of fluctuation showed a larger impact on reliability than that of the horizontal scale of fluctuation. As for the rotation anisotropy, the failure probability fluctuated with the increase in the rotation angle. Taking spatial variability into account, pile top displacements and maximum bending moments tower above those obtained via stability analysis. The related studying methods could provide guidance for the optimal design of anti-sliding piles and the threat control of landslides. Full article

(This article belongs to the Topic Physical Monitoring and Healthy Controlling of Geotechnical Engineering)

►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less

Select all

Export citation of selected articles as:

Plain Text BibTeX BibTeX (without abstracts) Endnote Endnote (without abstracts) Tab-delimited RIS

 

Error

Oops... you haven't selected anything for export.

Ok

clear

Displaying articles 1-4